We’ve created an engine that collects context data from sources such as Twitter, Dropbox, Steam, SMS, YouTube, FitBit, and Mint into a single data structure. The engine’s semantically normalized structure is updated in real time and can be queried like a database.
On top of this engine we’re building a data visualization and exploration tool. Users can define streams and timelines, plot data on maps and charts, and filter and search the data they generate.
We see an eventual progression ...Show all

We’ve created an engine that collects context data from sources such as Twitter, Dropbox, Steam, SMS, YouTube, FitBit, and Mint into a single data structure. The engine’s semantically normalized structure is updated in real time and can be querie...Show all